Search Results - automation (machine OR machinery) learning algorithm based on genetics algorithms

A pillar-based microfluidic chip for T-cells and B-cells isolation and detection with machine learning algorithm

Authors: Bilal Turan Taisuke Masuda Lei Wu et al.

Source: ROBOMECH Journal, Vol 5, Iss 1, Pp 1-9 (2018)

Subject Terms: Technology, Artificial intelligence, Support vector machine, Industrial engineering. Management engineering, Microfluidics, 02 engineering and technology, Histogram of Oriented Gradients features, Biochemistry, Metastasis, Automation, Engineering, TJ1-1570, Nanotechnology, Mechanical engineering and machinery, TJ227-240, Paper-Based Microfluidics, Microfluidic Devices, Cell counting, Cancer, Life Sciences, Comprehensive Integration of Single-Cell Transcriptomic Data, T58.5-58.64, Algorithm, Chemistry, TJ212-225, Physical Sciences, Paper-Based Diagnostic Devices, 0210 nano-technology, Biomedical engineering, B-cells, Biomedical Engineering, Information technology, T55.4-60.8, Microfluidic Techniques for Particle Manipulation and Separation, Cell cycle, FOS: Medical engineering, Lab-on-a-Chip, Biochemistry, Genetics and Molecular Biology, Machine learning, Genetics, Image (mathematics), T1-995, Machine design and drawing, Molecular Biology, Biology, Technology (General), FOS: Nanotechnology, Histogram, Control engineering systems. Automatic machinery (General), T-cells, Circulating tumor cell, Computer science, Materials science, T59.5, Microfluidic chip, Biological system, FOS: Biological sciences, Cell

Access URL: https://robomechjournal.springeropen.com/track/pdf/10.1186/s40648-018-0124-8
https://doaj.org/article/743f31083b254b22819d5237f0e861e0
https://robomechjournal.springeropen.com/articles/10.1186/s40648-018-0124-8
https://link.springer.com/article/10.1186/s40648-018-0124-8
https://link.springer.com/content/pdf/10.1186/s40648-018-0124-8.pdf

GAOR: Genetic Algorithm-Based Optimization for Machine Learning Robustness in Communication Networks

Authors: Aderonke Thompson Jani Suomalainen

Source: Network, Vol 5, Iss 1, p 6 (2025)

Subject Terms: machine learning, tree-based models, trustworthiness, robustness, optimization, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://www.mdpi.com/2673-8732/5/1/6; https://doaj.org/toc/2673-8732

Access URL: https://doaj.org/article/79373b7443914d8c9fadac74657a0b00

Development of a Genetic Algorithm-Based Control Strategy for Fuel Consumption Optimization in a Mild Hybrid Electrified Vehicle’s Electrified Propulsion System

Authors: Roberto H. Q. Filho Rodrigo P. M. Ruiz Eisenhawer de M. Fernandes et al.

Source: Energies, Vol 17, Iss 9, p 2015 (2024)

Subject Terms: hybrid vehicles, virtualization, vehicle simulation, machine learning, genetic algorithm, tuning automation/automatic calibration, Technology

File Description: electronic resource

Relation: https://www.mdpi.com/1996-1073/17/9/2015; https://doaj.org/toc/1996-1073

Access URL: https://doaj.org/article/6c56a7560bc842d9bdb3e0500d21d3ae

A novel deep learning-based 1D-CNN-optimized GRU approach for heart disease prediction

Authors: Jini Mol G. Ajith Bosco Raj T.

Source: Automatika, Vol 66, Iss 1, Pp 79-90 (2025)

Subject Terms: 1D-CNN, genetic algorithm (GA), optimized GRU (OGRU), SMOTE-ENN, Control engineering systems. Automatic machinery (General), TJ212-225, Automation, T59.5

File Description: electronic resource

Relation: https://doaj.org/toc/0005-1144; https://doaj.org/toc/1848-3380

Access URL: https://doaj.org/article/f0ca2a0189ee4810b9f4232cda2a060a

AI-enhanced automation of building energy optimization using a hybrid stacked model and genetic algorithms: Experiments with seven machine learning techniques and a deep neural network

Authors: Mohammad H. Mehraban Samad ME Sepasgozar Alireza Ghomimoghadam et al.

Source: Results in Engineering, Vol 26, Iss , Pp 104994- (2025)

Subject Terms: Building energy performance, Architectural design, Simulations, Artificial intelligence (AI), Machine learning, Deep learning, Technology

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590123025010709; https://doaj.org/toc/2590-1230

Access URL: https://doaj.org/article/7f13a1854a4f439d8ca8919b99d6ad25

Uncertainty‐aware nuclear power turbine vibration fault diagnosis method integrating machine learning and heuristic algorithm

Authors: Ruirui Zhong Yixiong Feng Puyan Li et al.

Source: IET Collaborative Intelligent Manufacturing, Vol 6, Iss 3, Pp n/a-n/a (2024)

Subject Terms: fault diagnosis, feature extraction, genetic algorithms, intelligent manufacturing systems, Manufactures, TS1-2301, Technological innovations. Automation, HD45-45.2

File Description: electronic resource

Relation: https://doaj.org/toc/2516-8398

Access URL: https://doaj.org/article/2ed4f7c15d134aea8a2178facc80d1ff

Machine learning testing in an ADAS case study using simulation-integrated bio-inspired search-based testing

Authors: Helali Moghadam, Mahshid Borg, Markus Saadatmand, Mehrdad et al.

Source: Journal of Software.

Subject Terms: advanced driver assistance systems, deep learning, evolutionary computation, lane-keeping system, machine learning testing, search-based testing, Automobile drivers, Biomimetics, Budget control, Deep neural networks, Embedded systems, Genetic algorithms, Learning systems, Particle swarm optimization (PSO), Software testing, Case-studies, Lane keeping, Machine-learning, Software Evolution, Software process, Test scenario

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-63851
https://doi.org/10.1002/smr.2591

A Novel General Feature Enhancement Method Based on Genetic Programming for Improving RF Circuit Fault Diagnosis Using Machine Learning.

Authors: Wu, Kunping Long, Bing Bu, Zhiyuan et al.

Source: Circuits, Systems & Signal Processing. Dec2025, Vol. 44 Issue 12, p8877-8900. 24p.

Subject Terms: *FAULT diagnosis, *GENETIC programming, *TIME-frequency analysis, *SUPPORT vector machines, *MACHINE learning, *APPLIED sciences, *MICROWAVE circuits, *NAIVE Bayes classification

基于随机对称搜索的进化强化学习算法. (Chinese)

Alternate Title: An evolutionary reinforcement learning algorithm based on stochastic symmetric search. (English)

Authors: 邸 剑 万 雪 姜丽梅

Source: Computer Engineering & Science / Jisuanji Gongcheng yu Kexue; May2025, Vol. 47 Issue 5, p912-920, 9p

Subject Terms: MACHINE learning, DEEP reinforcement learning, EVOLUTIONARY algorithms, ROBOT motion, ROBOT control systems

INTERPRETABLE AI ARCHITECTURE OF MACHINE LEARNING ALGORITHM FOR INTELLIGENT VIDEO SURVEILLANCE BASED ON FOG AND EDGE COMPUTING.

Authors: JIE ZHANG WEIPING SONG WENKUI SHE et al.

Source: Scalable Computing: Practice & Experience; May2025, Vol. 26 Issue 3, p1231-1241, 11p

Subject Terms: MACHINE learning, VIDEO surveillance, EDGE computing, ELECTRONIC data processing, VIDEO processing, VIDEO monitors

GA-HPO PPO: A Hybrid Algorithm for Dynamic Flexible Job Shop Scheduling.

Authors: Zhou, Yiming Jiang, Jun Shi, Qining et al.

Source: Sensors (14248220). Nov2025, Vol. 25 Issue 21, p6736. 26p.

Subject Terms: *PRODUCTION scheduling, *GENETIC algorithms, *OPTIMIZATION algorithms, *MACHINE performance, *MATHEMATICAL optimization, *REINFORCEMENT learning

Software defect prediction ensemble learning algorithm based on 2-step sparrow optimizing extreme learning machine.

Authors: Tang, Yu Dai, Qi Yang, Mengyuan et al.

Source: Cluster Computing; Nov2024, Vol. 27 Issue 8, p11119-11148, 30p

Subject Terms: OPTIMIZATION algorithms, MACHINE learning, SWARM intelligence, BOOTSTRAP aggregation (Algorithms), SEARCH algorithms, SOFTWARE measurement

A Machine Learning-Assisted Automation System for Optimizing Session Preparation Time in Digital Audio Workstations.

Authors: Moroșanu, Bogdan Negru, Marian Nicolae, Georgian et al.

Source: Information. Jun2025, Vol. 16 Issue 6, p494. 21p.

Subject Terms: *Digital audio, *Machine learning, *Automation, Sound engineers, Engineering instruments

2D Prediction of the Nutritional Composition of Dishes from Food Images: Deep Learning Algorithm Selection and Data Curation Beyond the Nutrition5k Project.

Authors: Bianco, Rachele Coluccia, Sergio Marinoni, Michela et al.

Source: Nutrients. Jul2025, Vol. 18 Issue 13, p2196. 23p.

Body Weight Estimation in Holstein × Zebu Crossbred Heifers: Comparative Analysis of XGBoost and LightGBM Algorithms.

Authors: Herrera‐Camacho, Jose Tırınk, Cem Parra‐Cortés, Rosa Inés et al.

Source: Veterinary Medicine & Science. Jul2025, Vol. 11 Issue 4, p1-10. 10p.

Subjects: Machine learning, Milk yield, Body weight, Heifers, Rural geography

Predicting Live Weight for Female Rabbits of Meat Crosses From Body Measurements Using LightGBM, XGBoost and Support Vector Machine Algorithms.

Authors: Önder, Hasan Tirink, Cem Yakubets, Taras et al.

Source: Veterinary Medicine & Science. Jan2025, Vol. 11 Issue 1, p1-12. 12p.

Subjects: Support vector machines, Standard deviations, Chest (Anatomy), Mathematical models, Animal welfare

An influent generator for WRRF design and operation based on a recurrent neural network with multi-objective optimization using a genetic algorithm

Authors: Feiyi Li Peter A. Vanrolleghem

Source: Water Science and Technology, Vol 85, Iss 5, Pp 1444-1453 (2022)

Subject Terms: digitalization, lstm, machine learning, nsga-ii, variability, wastewater modelling, Environmental technology. Sanitary engineering, TD1-1066

File Description: electronic resource

Relation: http://wst.iwaponline.com/content/85/5/1444; https://doaj.org/toc/0273-1223; https://doaj.org/toc/1996-9732

Access URL: https://doaj.org/article/52b9d8f71d794d79b65cc0e344240ade

A hybrid machine learning and meta‐heuristic algorithm based service restoration scheme for radial power distribution system.

Authors: Srivastava, Ishan Bhat, Sunil Thadikemalla, Venkata Sainath Gupta et al.

Source: International Transactions on Electrical Energy Systems. Jun2021, Vol. 31 Issue 6, p1-25. 25p.

Subject Terms: *ANT algorithms, *BLENDED learning, *MACHINE learning, *DISCRETE wavelet transforms, *PARTICLE swarm optimization, *POWER distribution networks, *METAHEURISTIC algorithms

Application of Machine Learning in Drone Technology for Tracking of Tigers.

Authors: AlZubi, Ahmad Ali Alkhanifer, Abdulrhman

Source: Indian Journal of Animal Research. Sep2024, Vol. 58 Issue 9, p1614-1621. 8p.

Subjects: Machine learning, Wildlife conservation, Wildlife monitoring, Tigers, Top predators

Enhancing the performance of extreme learning machine technique using optimization algorithms for embedded workload characterization

Authors: Shritharanyaa JP Saravana Kumar R Kumar C et al.

Source: Alexandria Engineering Journal, Vol 108, Iss , Pp 509-517 (2024)

Subject Terms: Embedded Systems, Workload Characterization, ELM, Optimization, IoMT, EEMBC, Engineering (General). Civil engineering (General), TA1-2040

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1110016824008354; https://doaj.org/toc/1110-0168

Access URL: https://doaj.org/article/b44deb50c02749a882b1e53ccb71dc1e